MSc Data Science & Analytics at Cardiff Metropolitan University

Programme overview

A BCS- and IET-accredited master's that teaches students to design and manage data science systems, apply advanced software to analyse data and approach complex data problems, through project-based learning with real datasets and industry scenarios.

Faculty: Cardiff School of Technologies | Duration: 12-18 months full time depending on start date; 3 years part time | Intake: September and January intakes | Location: Cardiff, Wales, United Kingdom

What you will study

Compulsory modules (20 credits each unless stated): Big Data for Enterprise, Big Data Technologies, Applied Predictive Modelling, Programming for Data Analysis, Research & Professional Practice, Data Analytics & Visualisation, Information Security, and a 40-credit Technology Dissertation. 180 credits in total; PgC and PgD exit awards available.

Career pathways

Data analyst, data scientist, IT consultant and managerial roles in industry.

Official programme page

Application information

Entry requirements

An undergraduate degree or equivalent in a relevant area (for example Computing or Information Systems) with a minimum 2:2 classification, or a suitable professional qualification. Relevance is judged by the Programme Director from the transcript and, if required, an interview. Applicants with extant level 7 qualifications may apply for admission with credit via recognition of prior learning (maximum 120 credits). International applicants are assessed on academic qualifications, English language proficiency and overall suitability.

Domestic applicants: GBP 11,000 for the whole programme (2026/27). Full-time home Postgraduate Masters (including MRes) fee as listed; period not stated in the table. Source

International applicants: GBP 17,600 for the whole programme (2026/27). Full-time international Postgraduate Masters (including MRes) fee as listed. Source

Intake: September and January intakes

Duration: 12-18 months full time depending on start date; 3 years part time

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